Correlation between teaching behavior and real-time student evaluations

Yusuke Kometani, Takahito Tomoto, Takako Akakura, Keizo Nagaoka

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)


    Many universities conduct student evaluations, with the goal of encouraging improvement in teaching. Evaluations are subjective assessments by students, and do not directly evaluate specific teaching methods or behaviors as being good or bad. Instructors therefore cannot necessarily easily relate evaluations to areas for teaching improvement. To address this issue, we proposed a teaching behavior estimation model that can estimate teaching behaviors from student evaluations of each lesson. In this study, with the goal of identifying correspondences between lesson progress and teaching behaviors, we examine a model for estimating teaching behaviors from real-time student evaluations (evaluations performed during the lesson). In a basic study toward this end, we acquired student evaluations at three points - 30, 60, and 90 minutes into university lectures - and investigated correlations between evaluation changes as the lesson progressed and the number of occurrences of teaching behaviors during each part of the lesson. As a result, we identified relations between teaching behaviors that affect student evaluation items as lessons progress.

    Original languageEnglish
    Title of host publicationProceedings - IEEE 6th International Conference on Technology for Education, T4E 2014
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Number of pages4
    ISBN (Print)9781479964895
    Publication statusPublished - 2014 Jan 13
    Event6th IEEE International Conference on Technology for Education, T4E 2014 - Amritapuri, Kerala, India
    Duration: 2014 Dec 182014 Dec 21


    Other6th IEEE International Conference on Technology for Education, T4E 2014
    CityAmritapuri, Kerala


    • higher education
    • real-time evaulation
    • student evaluation
    • teaching behavior
    • teaching improvement

    ASJC Scopus subject areas

    • Computer Science Applications
    • Education


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